Sf bay area, los angeles/orange county, nyc, seatt...
Fully remote
Programmatic auctions
Ssp/dsp mechanics
Openrtb protocols
Liftoff is seeking a Senior Programmatic Exchange Analyst to join their remote team, focusing on optimizing programmatic auction dynamics for mobile app marketing. The ideal candidate will possess strong analytical skills and experience in ad tech, particularly with programmatic auctions and data analysis
Job Summary
As a Senior Programmatic Exchange Analyst, you will be a critical bridge between auction intelligence and commercial execution.
You will investigate auction-level dynamics, diagnose revenue leakage, and partner closely with the Vungle Exchange Commercial team to unblock revenue and optimize DSP outcomes.
This role is highly analytical and business-facing: you will extract signals from noisy auction data, translate it into actionable recommendations, and collaborate with commercial and product stakeholders to implement changes.
Matching Summary
Match Score: 85
Liftoff is seeking a Senior Programmatic Exchange Analyst to join their remote team, focusing on optimizing programmatic auction dynamics for mobile app marketing. The ideal candidate will possess strong analytical skills and experience in ad tech, particularly with programmatic auctions and data analysis.
Salary
SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $135,000 - $155,000; All other California and Washington state locations, Austin, Boston, Denver, Portland: $124,000 - $143,000; All other locations in our approved states: $116,000 - $133,000
Skills & Requirements
Must-have
programmatic auctions
SSP/DSP mechanics
openRTB protocols
auction data analysis
revenue leakage diagnosis
AI tools for productivity
Nice-to-have
Python for data analysis
cross-functional collaboration
fast-paced ambiguous environments
Key Requirements
5+ years of experience
B.A./B.S. in Analytics, Economics, Mathematics, Engineering, or related field
AdTech or programmatic exchange experience strongly preferred
Strong SQL skills
Experience with large-scale datasets (BigQuery, Snowflake, Databricks)